Skip to content

Category

generative ai

2,658 papers

#generative ai Book Open access Sep 2026

Written by AI. Still True. — When AI Expands Human Potential: A Systematic Epistemology of Human–AI Knowledge (Edition 1, 2026)

Edition 1.1 (2026-09-07). This version adds two chapters, reproduced unchanged at their deposited versions: The Economics of Expertise in the Age of Generative AI v1.1 (10.5281/zenodo.22638960; Part 6, Human Position After Labour) and The Recursive Epistemic Tunnel v2.1 (10.5281/zenodo.22639311; Part 7, The River and I...

Yaoharee Lahtee · 0 citations
#generative ai Open access Sep 2026

Beyond AI Use Rates: The Human-AI Agency Replacement Ratio and the Six-Axis Structure of Dependency Exposure

Assisted performance does not identify what remains when AI access is withdrawn. Assisted performance is produced jointly by a human and an AI contribution, while withdrawal performance rests on the human contribution alone, so one assisted record is consistent with different human-side states. In one randomized trial,...

K. Yamada · 0 citations
#generative ai Dataset Open access Sep 2026

Research data and reproducibility package for a deterministic-generative framework for auditable AI-assisted water quality monitoring and interpretation

This record contains the research data and reproducibility materials supporting the study “Separating Calculation from Communication in AI-Assisted Water Quality Interpretation”. The archive includes the processed INEMA Monitora dataset used to construct the observational scenarios; experimental prompts and metadata; d...

Vinicius Saraiva Santos, Fabrício Berton Zanchi · 0 citations
#generative ai Open access Sep 2026

Financial literacy education to college students in the U.S.

Purpose The purpose of this extended editorial is to document the status of personal finance course offerings at universities and colleges in the U.S. Design/methodology/approach With the assistance of generative AI tools, data on personal finance courses offered at universities and colleges in the U.S. were collected....

Jing Jian Xiao · 0 citations
#generative ai Open access Sep 2026

allen-proxmire/ED-generative: 27.0

One primitive does the work: the arrow of time — the irreversible act of commitment. Most attempts at unification add structure. This one removes it. Event Density starts from a discrete relational substrate with no intrinsic metric, no background coordinates, and no dimensionless constants of its own, and asks what a...

allen-proxmire · 0 citations
#artificial intelligence Open access Sep 2026

HAICA: A framework for reasoning transparency in AI-enabled higher education assessment

Generative Artificial Intelligence (GenAI) has destabilized conventional assumptions about the evidentiary basis of higher education assessment. When students can produce polished and technically plausible outputs with AI support, final submissions alone may no longer provide sufficient grounds for judging learner reas...

Jawahir Che Mustapha, Munaisyah Abdullah, Ganesh Kumar · 0 citations
#artificial intelligence Open access Sep 2026

A Three-Layered Framework and Measurement Toolkit for Understanding Emotional and Relational Engagement with AI

As generative artificial intelligence (AI) becomes increasingly embedded in emerging adults’ academic, work, and social lives, interactions with AI increasingly involve emotional disclosure and relational engagement beyond instrumental use. However, empirical research has been constrained by the lack of validated instr...

Chuqi Chen, Huiguang Ren, Junsheng Liu et al. · 0 citations
#generative ai Open access Sep 2026

Stochastic neural networks for quantum devices

Abstract This work presents a formulation to express and optimize stochastic neural networks as quantum circuits in gate-based quantum computing. Motivated by a classical perceptron, stochastic artificial neurons are introduced and combined into a quantum neural network. The Kiefer-Wolfowitz algorithm in combination wi...

Bodo Rosenhahn, Tobias J. Osborne, Christoph Hirche · 0 citations
#generative ai Open access Sep 2026

The Economics of Expertise in the Age of Generative AI: From Constrained Scientific Creativity to Epistemic Scarcity (Final Journal Manuscript v1.0)

Version note (v1.1, 2026-09-07). Uplift edition clearing the items raised by the independent glosa review of v1.0: a provenance footnote at Eq. 6 (the knowledge triple is an earlier formulation recorded under Toledo weld/E.03.v1, whose current statement is a richer tuple); DOI/ISBN notes for four monographs; Edwards an...

Yaoharee Lahtee · 2 citations
#generative ai Open access Sep 2026

Toledo — Equation Library of the Human–AI Readout Programme (v1.4.0): 967 coded entries incl. Economics of Expertise registrations and the Core Epistemic Structure definitions, MCP server, static API, lineage, native and imported Coq, catalogue

What this is. Toledo is the programme's single permanent home for equations and their machine checks: a public git repository (https://github.com/morrocwi/toledo) whose tagged releases are deposited under this concept DOI. Scope is equations and Th_coqc only: registries, persistent codes ( / . .v ), parents by code bac...

Yaoharee Lahtee · 2 citations
#generative ai Open access Sep 2026

The Economics of Expertise in the Age of Generative AI: From Constrained Scientific Creativity to Epistemic Scarcity (Final Journal Manuscript v1.0)

Version note (v1.0.1, 2026-09-07). Typesetting correction only: a stray punctuation mark in the Core Epistemic Registration block is removed. Text, equations, ledger and references are unchanged from v1.0. What this is. A theory/perspective manuscript (Final Journal Manuscript v1.0, 7 September 2026; submission-ready,...

Yaoharee Lahtee · 3 citations
#generative ai Open access Sep 2026

COREA (Curriculum Ontology Reservoir for Education using AI): Korean Prototyping — An English-language technical report of Research Project No. 2025-1-08

This is an English-language technical report of a study reported in full, in Korean, as Research Project No. 2025-1-08 under Korea's Educational Development Special Zone — Digital Education Innovation Project. It introduces no data, analysis, or claim absent from the Korean report. The study asked whether AI-based adap...

Jaehwa Choi, Kyungil Yoon, Hong-Gee Kim et al. · 4 citations

From tech blogs

See all →
MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.